Attention-Based Multimodal Deep Learning for Uveal Melanoma Classification Using Ultra-Widefield Fundus Images and Ocular Ultrasound

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Authors

Institutions

Publication Details

Journal
Ophthalmology Science
Published
2025-10-28
DOI
https://doi.org/10.1016/j.xops.2025.100985
Primary Topic
Ocular Oncology and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Attention-Based Multimodal Deep Learning for Uveal Melanoma Classification Using Ultra-Widefield Fundus Images and Ocular Ultrasound

Xincheng Yao, Behrouz Ebrahimi, Taeyoon Son, Albert Kofi Dadzie et al.
Ophthalmology Science
Ocular Oncology and Treatments
article

Attention-Based Multimodal Deep Learning for Uveal Melanoma Classification Using Ultra-Widefield Fundus Images and Ocular Ultrasound

Xincheng Yao, Behrouz Ebrahimi, Taeyoon Son, Albert Kofi Dadzie, Michael J. Heiferman, Mansour Abtahi, Sabrina P. Iddir, Mojtaba Rahimi, Sanjay Ganesh
article en

Abstract

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Ophthalmology ScienceVol. 6(2)
University of Illinois Chicago (US)
Research to Prevent Blindness, Melanoma Research Alliance
Openalex Percentile: Top 55%
Ocular Oncology and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.